Table 2.
Average performance of the single-feature based systems compared to the entire system performance for a seizure prediction horizon of 10 sec.
| SOPmax (min) |
system | SEN (%) |
SPE (%) |
FPR (/h) |
PT (%) |
MPT (min) |
|---|---|---|---|---|---|---|
| CD-based | 86.7 ± 18.7 | 91.8 ± 8.1 | 0.26 ± 0.21 | 8.4 ± 7.9 | 12.5 ± 10.9 | |
| 30 | NL-based | 65.8 ± 27.7 | 91.1 ± 7.1 | 0.33 ± 0.24 | 9.4 ± 6.9 | 11.7 ± 9.9 |
| CEN-based | 47.5 ± 26.3 | 95.6 ± 3.1 | 0.23 ± 0.15 | 4.9 ± 3.8 | 14.7 ± 11.9 | |
| LZC-based | 79.2 ± 25 | 89.4 ± 5.8 | 0.36 ± 0.16 | 11.7 ± 7.3 | 17.6 ± 11 | |
| LLE-based | 75.8 ± 24.2 | 92.8 ± 5.6 | 0.26 ± 0.17 | 7.9 ± 6.1 | 18 ± 9.9 | |
| NI-based | 85.8 ± 17 | 93.2 ± 6.9 | 0.26 ± 0.23 | 6.8 ± 6.9 | 14.8 ± 7.4 | |
|
|
||||||
| Entire system | 91.7 ± 13.3 | 95.9 ± 3.5 | 0.135 ± 0.13 | 4.9 ± 4.3 | 13.9 ± 8.2 | |
|
| ||||||
| CD-based | 91.7 ± 13.3 | 91.8 ± 8.1 | 0.17 ± 0.13 | 8.4 ± 7.9 | 21.9 ± 18.2 | |
| 50 | NL-based | 85.8 ± 17 | 91.1 ± 7.1 | 0.23 ± 0.16 | 9.4 ± 6.9 | 33.1 ± 16.9 |
| CEN-based | 78.3 ± 21.7 | 95.6 ± 3.1 | 0.17 ± 0.098 | 4.9 ± 3.8 | 30 ± 15 | |
| LZC-based | 91.7 ± 13.3 | 89.4 ± 5.8 | 0.25 ± 0.12 | 11.7 ± 7.3 | 31.7 ± 15.7 | |
| LLE-based | 94.1 ± 9.5 | 92.8 ± 5.6 | 0.18 ± 0.12 | 7.9 ± 6.1 | 31.6 ± 15.1 | |
| NI-based | 90.8 ± 12.8 | 93.2 ± 6.9 | 0.2 ± 0.15 | 6.8 ± 6.9 | 25.2 ± 14.9 | |
|
|
||||||
| Entire system | 94.2 ± 9.3 | 95.9 ± 3.5 | 0.1 ± 0.1 | 4.9 ± 4.3 | 36.7 ± 17.1 | |
The results have been averaged across patients. CD: correlation dimension; NL: noise level; CEN: correlation entropy; LZC: Lempel-Ziv complexity; LLE: largest Lyapunov exponent; NI: nonlinear interdependence; SOPmax: maximum seizure occurrence period; SEN: sensitivity; SPE: specificity; FPR: false prediction rate; PT: portion of time under false predictions; MPT: Mean prediction time.